<p>Department</p> <p>Business</p> <p>Primary Campus</p> <p>University of Kansas Lawrence Campus</p> <p>Job Description</p> <p>Duties include but are not limited to:</p> <p>60% Collect and organize data from prediction market platforms (e.g., Polymarket, Kalshi).</p> <p>30% Clean and structure datasets in Excel or similar software.</p> <p>5% Assist with basic data analysis and documentation of procedures.</p> <p>5% Other research-related tasks as assigned.</p> <p>Req ID (Ex: 10567BR)</p> <p>32516BR</p> <p>Disclaimer</p> <p>The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following person has been designated to handle inquiries regarding the nondiscrimination policies and is the Title IX coordinator for all KU and KUMC campuses: Associate Vice Chancellor for Civil Rights and Title IX, civilrights@ku.edu, Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY.</p> <p>Work Schedule</p> <p>Flexible; up to 20 hours weekly.</p> <p>Contact Information to Applicants</p> <p>Francisco Zuloaga Cosme</p> <p>Francisco.zuloaga@ku.edu</p> <p>Required Qualifications</p> <ul> <li>Ability to work independently and meet deadlines. </li><li>Proficiency in Excel or Google Sheets. </li><li>Strong attention to detail and ability to follow structured tasks. </li><li>Strong organizational skills. </li></ul> <p>Advertised Salary Range</p> <p>$10.25 Hourly</p> <p>Position Overview</p> <p>This position supports a research project on prediction markets, focusing on data collection and organization from platforms such as Polymarket and Kalshi. The student will assist in building a structured dataset used for academic research. The role is ideal for students interested in marketing analytics or research methods.</p> <p>Throughout their employment, student employees will maintain and manifest positive actions that align with and support the Code of Conduct for the School of Business.</p> <p>Reg/Temp</p> <p>Temporary</p> <p>Application Review Begins</p> <p>30-Apr-2026</p> <p>Anticipated Start Date</p> <p>10-May-2026</p> <p>Additional Candidate Instruction</p> <p>Submit an online application and resume. Applicants may also include a brief statement (optional) describing their interest in the position and any relevant experience.</p> <p>Position Requirements</p> <p>During the semester term of the appointment, the student hourly must be enrolled in no fewer than 6 credit hours. For summer periods the student hourly must: (1) have been enrolled in no less than 6 hours in the past spring semester or (2) be pre-enrolled in the upcoming fall semester in no less than 6 hours or (3) be enrolled in summer session or (4) be admitted to study in the upcoming fall semester. Student Hourlies may be undergraduate or graduate students. (Exceptions granted for GRA/GTA/GA appointments DO NOT apply to Student Hourly appointments).</p> <p>Employment Conditions</p> <p>(1) Student employees are not eligible for remote work arrangements unless an exception is approved by the unit leadership and HR.</p> <p>(2) This is an hourly/non-exempt position. A student employee cannot hold an hourly/non-exempt position and a salaried/exempt graduate or undergraduate position (GRA/GTA/GA/RUA/RGA) concurrently.</p>